In: Computer Science
1. What is the purpose of source encoding? How does source encoding integrate in modulating and demodulating (MODEM) technology? How can you improve source encoding strategies?
The purpose of source encoding is eliminating redundant binary digits from the digitized signal. A source encoder involved in this process carries out many formulas to reduce redundant binary information in the digitized signal that is passed through the source encoder. The purpose is to reduce redundancy.
A MoDem (Modulator and De-Modulator) receives modulated signals and demodulates them. Modems initiate encoding schemes. In modems, channel-encoding schemes are employed at the highest bit rates for reducing transmission errors. Also, different source-encoding schemes are used for “compressing” the data into fewer bits. Doing so increases the information transmission rate without raising the bit rate.
To improve source encoding strategies, it is preferred an
encoding system is available to adapt to the unknown probabilities
of a source. As a strategy, a channel encoder can be used for
adding redundancy to the transmitted signal to correct the errors
at the receiver that are caused by noise during transmission. This
uses a channel encoding strategy. It is possible to have an
efficient encoding, which requires grouping sequences of levels
together and applying the Huffman code to sequences. Other
methods can be used to improve source encoding strategies depending
on the use case, scenario, and limitations and they
are:
* Huffman codes.
* The Lempel-Ziv algorithm.
* Run-length codes.
* Channel Encoding.
* Repetition codes.
* The Hamming code.
* Convolutional encoding.